Intelligent vehicles (IV) have become popular in recent years. The advanced measurement and control techniques in IV can improve driving safety, riding comfort, travel efficiency, and fuel economy. Classic driving assistance control techniques including anti-lock brake system (ABS) and electronic stability control (ESC), autonomous emergency braking (AEB), adaptive cruise control (ACC), and lane-keeping assistance (LKA) are commonly accessible for IV. Advanced measurement techniques have also been applied to IVs, including forward collision warning (FCW), reverse collision warning (RCW), lane departure warning (LDW), lane-change collision warning (LCW) and blind-spot monitoring (BSD).

The above driving assistance systems belong to the low-level intelligent driving category. Machines can help drivers improve their driving performance. Considering the individual difference of human drivers, the collaborative or shared control between human drivers and machines is a challenge for the measurement and control system. In a high-level intelligent driving system (e.g., L4 and L5), the machine undertakes the main driving tasks, which increases the challenges and difficulty for the measurement and control technique, including stability, generalization, and robustness. Therefore, it is necessary and urgent to study the advanced measurement and control technique for IV.

The aim of this Special Issue is to bring together original research articles and review articles highlighting any aspect of advanced measurement and control techniques for IV.

Potential topics include but are not limited to the following:

• Advanced observation and measurement technology in IV
• Combined positioning technology in IV
• Simultaneous localization and mapping (SLAM) in IV
• Multi-sensor fusion technology in IV
• Machine learning application in measure and control in IV
• Collaborative or shared control of human driver and IV
• Advanced Driving Assistance System (ADAS)
• Decision making and motion planning for IV
• Platoon control for connected vehicles
• Advanced motion control techniques for IV
• Active collision avoidance control for IV